FAfA: Factor Analysis for All An R Package to Conduct Factor Analysis with R Shiny Application
Journal of Measurement and Evaluation in Education and Psychology, vol.15, no.4, pp.446-451, 2024 (ESCI, Scopus, TRDizin)
- Publication Type: Article / Article
- Volume: 15 Issue: 4
- Publication Date: 2024
- Doi Number: 10.21031/epod.1555805
- Journal Name: Journal of Measurement and Evaluation in Education and Psychology
- Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus, TR DİZİN (ULAKBİM)
- Page Numbers: pp.446-451
- Keywords: exploratory graph analysis, factor analysis, item weighting, reliability analysis
- Trakya University Affiliated: Yes
Abstract
This paper presents a presentation of FAfA (the R Shiny application), which was specifically developed for performing complete factor analysis processes. These procedures include data wrangling, assumption checks for exploratory and confirmatory factor analysis, reliability analysis, exploratory graphic analysis, and item weighting. The objective of the paper is to provide users with clear instructions on how to effectively use the FAfA package, therefore guaranteeing precise and consistent outcomes in their research. The FAfA application's primary goal is to integrate EFA and CFA into a single software. Furthermore, FAfA possesses the capability to compute several reliability coefficients related to internal consistency. It can also be utilized when item weighing is desired. This package is advantageous as it enables the verification of assumptions prior to analysis within a single program, facilitates both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) in one application, provides reliability coefficients not accessible in user-interface programs (such as stratified alpha), and integrates exploratory graph analysis, which has rapidly advanced in recent years, into a unified application.